About this Event
43 VASSAR ST, Cambridge, MA 02139
https://www.eventbrite.com/e/2026-symposium-self-organization-and-emergence-in-development-tickets-19828155506882026 Yang ICoN Center Symposium: Self-Organization and Emergence in Development
Symposium Overview
This event brings together leading researchers to explore how neural structure and function emerge during development. Speakers will discuss key theoretical and empirical challenges in explaining how complex neural systems arise across molecular, cellular, and circuit levels.
The K. Lisa Yang Integrative Computational Neuroscience (ICoN) Center at MIT pioneers computational models of brain function that unify multiple levels of biological data, from molecules to circuits to behavior. The center is part of the Yang Tan Collective, a multi-university effort dedicated to accelerating collaborations in basic science, research, and engineering to improve human health and well-being at a global scale. Learn more about the Collective at yangtan.mit.edu.
Symposium Agenda:
8:30 AM – Check-in Opens
8:45 AM – Welcome & Introduction from Ila Fiete, MIT
Session 1: Genetic Programs for Neural Circuit Assembly
9:00 AM – Fenna Krienen, Princeton University
Spatially-resolved genetic programs in primate brains
9:50 AM – Yerbol Kurmangaliyev, Brandeis University
How are neural circuits encoded in the genome?
10:40 AM – Morning Break
Session 2: Self-Organization in Brain Development
10:55 AM – Paola Arlotta, Harvard University
Building complexity in brain organoids takes time and (self)-organization
11:45 AM – P. Robin Hiesinger, Freie Universitat Berlin
Self-Organization in Fly Brain Development
12:35 PM – Lunch Break
Session 3: Emergence of Large-Scale Neural Architecture
1:20 PM – Gordon Smith, University of Minnesota
Common principles underlying the development of large-scale cortical networks
2:10 PM – Matthias Kaschube, FIAS Frankfurt Institute for Advanced Studies
The emergence of functional modular networks in cortical development
3:00 PM – Afternoon Break
Session 4: Robustness and Geometry in Biological Systems
3:15 PM – Stanislav Shvartsman, Princeton University
A class of natural tessellation algorithms
4:05 PM – Brady Weissbourd, MIT
Mechanisms of robustness in jellyfish neural networks
4:55 PM – Closing Remarks
5:00 PM – Poster session & Networking Reception